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Strong employer brand, broad generalist software/data title, and wide skill requirements increase applicant competition.
Role requires domain-specific data engineering and AI skills, limiting cross-industry transferability.
Multiple mandatory technical skills (Java, PLSQL, Airflow, Spring Boot, Python, Agentic AI) and degree requirement make filters strict.
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Lead design, development, and implementation of data analytics systems using Java, Python, PLSQL, and Agentic AI to optimize statistical efficiency and quality.
Analyze and interpret complex data sets, develop reports, and identify process improvement opportunities to enhance product performance and scalability.
Provide technical leadership and mentoring, collaborating with product owners and developers to improve delivery effectiveness and integrate AI-assisted solutions.
Bachelor's degree in Technology (B.Tech) or MCA with minimum 16 years of formal education; correspondence courses not accepted.
Proven experience in Java, PLSQL, Python, Spring Boot, CI/CD, Airflow, and Agentic AI technologies.
Experience defining and analyzing multivariate tests and performing exploratory data analysis on structured and unstructured data.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to provide technical leadership and solutions in software development and data analytics contexts.
Experience working independently on complex technical issues with minimal supervision and mentoring team members.
Strong analytical skills coupled with experience communicating effectively with both business and technical stakeholders.